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Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping

BACKGROUND: Africans pour dirty water around their houses which constitutes aquatic habitats (AH). These AH are sought by mosquitoes for larval development. Recent studies have shown the effectiveness of destroying AH around houses in reducing malaria incidence. An agent-based model is proposed for...

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Detalles Bibliográficos
Autores principales: Layie, Paul, Kamla, Vivient Corneille, Kamgang, Jean Claude, Wono, Yves Emvudu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953772/
https://www.ncbi.nlm.nih.gov/pubmed/33706731
http://dx.doi.org/10.1186/s12889-020-10150-4
Descripción
Sumario:BACKGROUND: Africans pour dirty water around their houses which constitutes aquatic habitats (AH). These AH are sought by mosquitoes for larval development. Recent studies have shown the effectiveness of destroying AH around houses in reducing malaria incidence. An agent-based model is proposed for controlling malaria’s incidence through population sensitizing campaigns on the harmful effects of AH around houses. METHODS: The environment is constituted of houses, AH, mosquitoes, humans, and hospital. Malaria’s spread dynamic is linked to the dynamics of humans and mosquitoes. The mosquito’s dynamic is represented by egg-laying and seeking blood. The human’s dynamic is animated by hitting mosquitoes. AH are destroyed each time by 10% of their starting number. The number of infected humans varied from 0-90 which led to a total of 1001 simulations. RESULTS: When the number of houses and AH is equal, the results are approximate as the field data. At each reduction of AH, the incidence and prevalence tend more and more towards 0. When there is no AH and infected humans, the prevalence and incidence are at 0. CONCLUSIONS: When there is no AH site, the disease disappears completely. Global destruction of AH in an environment and using many parameters in the same model are recommended.